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Volumn 7572 LNCS, Issue PART 1, 2012, Pages 243-256

Descriptor learning using convex optimisation

Author keywords

[No Author keywords available]

Indexed keywords

DESCRIPTORS; DIMENSIONALITY REDUCTION; DISCRIMINATIVE LEARNING; FEATURE DETECTOR; LEARNING METHODS; NON-SMOOTH COST FUNCTIONS; OBJECT RETRIEVAL; OPTIMISATIONS; OPTIMIZERS; STATE OF THE ART; TRAINING DATA; VIEWPOINT INVARIANT;

EID: 84867887940     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33718-5_18     Document Type: Conference Paper
Times cited : (36)

References (16)
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  • 4
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    • Optimizing search engines using clickthrough data
    • ACM Press, New York
    • Joachims, T.: Optimizing search engines using clickthrough data. In: ACM SIGKDD Int. Conf. on Knowl. Disc. and Data Mining, pp. 133-142. ACM Press, New York (2002)
    • (2002) ACM SIGKDD Int. Conf. on Knowl. Disc. and Data Mining , pp. 133-142
    • Joachims, T.1
  • 5
    • 85161967298 scopus 로고    scopus 로고
    • Self-paced learning for latent variable models
    • Lafferty, J., Williams, C.K.I., Shawe-Taylor, J., Zemel, R., Culotta, A. (eds.) Curran Associates, Inc, Red Hook
    • Kumar, M.P., Packer, B., Koller, D.: Self-paced learning for latent variable models. In: Lafferty, J., Williams, C.K.I., Shawe-Taylor, J., Zemel, R., Culotta, A. (eds.) Adv. Neur. Inf. Proc. Sys. 23, pp. 1189-1197. Curran Associates, Inc, Red Hook (2010)
    • (2010) Adv. Neur. Inf. Proc. Sys. , vol.23 , pp. 1189-1197
    • Kumar, M.P.1    Packer, B.2    Koller, D.3
  • 6
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • Lowe, D.: Distinctive image features from scale-invariant keypoints. Int. J. Comp. Vis. 60(2), 91-110 (2004)
    • (2004) Int. J. Comp. Vis. , vol.60 , Issue.2 , pp. 91-110
    • Lowe, D.1
  • 8
    • 65249121279 scopus 로고    scopus 로고
    • Primal-dual subgradient methods for convex problems
    • Nesterov, Y.: Primal-dual subgradient methods for convex problems. J. Math. Prog. 120(1), 221-259 (2009)
    • (2009) J. Math. Prog. , vol.120 , Issue.1 , pp. 221-259
    • Nesterov, Y.1
  • 10
    • 78149342468 scopus 로고    scopus 로고
    • Descriptor learning for efficient retrieval
    • Daniilidis, K. (ed.) ECCV 2010, Part III. Springer, Heidelberg
    • Philbin, J., Isard, M., Sivic, J., Zisserman, A.: Descriptor learning for efficient retrieval. In: Daniilidis, K. (ed.) ECCV 2010, Part III. LNCS, vol. 6313, pp. 677-691. Springer, Heidelberg (2010)
    • (2010) LNCS , vol.6313 , pp. 677-691
    • Philbin, J.1    Isard, M.2    Sivic, J.3    Zisserman, A.4
  • 11
    • 31844451557 scopus 로고    scopus 로고
    • Fast maximum margin matrix factorization for collaborative prediction
    • De Raedt, L., Wrobel, S. (eds.) ACM Press, New York
    • Rennie, J.D.M., Srebro, N.: Fast maximum margin matrix factorization for collaborative prediction. In: De Raedt, L., Wrobel, S. (eds.) Int. Conf. Mach. Learn., pp. 713-719. ACM Press, New York (2005)
    • (2005) Int. Conf. Mach. Learn. , pp. 713-719
    • Rennie, J.D.M.1    Srebro, N.2
  • 12
    • 33749254973 scopus 로고    scopus 로고
    • Photo tourism: Exploring photo collections in 3D
    • Snavely, N., Seitz, S.M., Szeliski, R.: Photo tourism: exploring photo collections in 3D. ACM Trans. on Graph. 25(3), 835-846 (2006)
    • (2006) ACM Trans. on Graph. , vol.25 , Issue.3 , pp. 835-846
    • Snavely, N.1    Seitz, S.M.2    Szeliski, R.3
  • 14
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    • Large margin component analysis
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    • Torresani, L., Lee, K.: Large margin component analysis. In: Schölkopf, B., Platt, J., Hoffman, T. (eds.) Adv. Neur. Inf. Proc. Sys. 19, pp. 1385-1392. MIT Press, Cambridge (2007)
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    • Torresani, L.1    Lee, K.2
  • 15
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    • Distance metric learning for large margin nearest neighbor classification
    • Weiss, Y., Schölkopf, B., Platt, J. (eds.) MIT Press, Cambridge
    • Weinberger, K., Blitzer, J., Saul, L.: Distance metric learning for large margin nearest neighbor classification. In: Weiss, Y., Schölkopf, B., Platt, J. (eds.) Adv. Neur. Inf. Proc. Sys. 18, pp. 1473-1480. MIT Press, Cambridge (2006)
    • (2006) Adv. Neur. Inf. Proc. Sys. , vol.18 , pp. 1473-1480
    • Weinberger, K.1    Blitzer, J.2    Saul, L.3
  • 16
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    • Dual averaging methods for regularized stochastic learning and online optimization
    • Xiao, L.: Dual averaging methods for regularized stochastic learning and online optimization. J. Mach. Learn. Res. 11, 2543-2596 (2010)
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    • Xiao, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.